RxSwift: Deep Cuts

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RxSwift: Deep Cuts

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RxSwift: Deep Cuts

There are two properties of the RxSwift API that make it painfully easy to create memory management related bugs.

Blog posts

Applying Unit tests to MVVM with Swift

Even though the MVVM is straightforward, writing unit tests for various use cases is still tricky. So let’s learn how to write tests properly…

Reusability and Composition in Swift

The one concept Nietzsche, Thoreau and Hesse most probably tried to elude through their lives: Dependency. Even if one does not agree or embrace their philosophies, a programmer should — or must? — apply their way of thinking while programming.

RxSwift first steps, roadmap and resources

The journey through the RxSwift universe is something vast that begins with a much broader concern, the reactive way of thinking, which is a shift in our programming mindset. Reactive programming is a topic that requires understanding for proper use, so the road for this kind of knowledge needs to start with core concepts as well as the motivation behind this different approach to programming. This post is a sort of entrance ticket for this reactive club, but the swift and iOS session of the party.

An On-device Deep Neural Network for Face Detection - Apple

Apple started using deep learning for face detection in iOS 10. With the release of the Vision framework, developers can now use this technology and many other computer vision algorithms in their apps. We faced significant challenges in developing the framework so that we could preserve user privacy and run efficiently on-device. This article discusses these challenges and describes the face detection algorithm.

Libraries